kangar00
Kernel Approaches for Nonlinear Genetic Association Regression
Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).
- Version1.4.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release05/09/2024
Documentation
Team
Juliane Manitz
Benjamin Hofner
Show author detailsRolesAuthorStefanie Friedrichs
Show author detailsRolesAuthorPatricia Burger
Show author detailsRolesAuthorNgoc Thuy Ha
Show author detailsRolesAuthorSaskia Freytag
Show author detailsRolesContributorHeike Bickeboeller
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 670 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 25 times.
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Last 365 days
This package has been downloaded 10,264 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Nov 05, 2024 with 92 downloads.
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Dependencies
- Imports6 packages
- Suggests1 package
- Reverse Suggests1 package